All language subtitles for Brazil.Untamed.Series.1.5of5.Cat.Country.1080p.HDTV.x264.AAC.MVGroup.org.eng

af Afrikaans
ak Akan
sq Albanian
am Amharic
ar Arabic Download
hy Armenian
az Azerbaijani
eu Basque
be Belarusian
bem Bemba
bn Bengali
bh Bihari
bs Bosnian
br Breton
bg Bulgarian
km Cambodian
ca Catalan
ceb Cebuano
chr Cherokee
ny Chichewa
zh-CN Chinese (Simplified)
zh-TW Chinese (Traditional)
co Corsican
hr Croatian
cs Czech
da Danish
en English Download
eo Esperanto
et Estonian
ee Ewe
fo Faroese
tl Filipino
fi Finnish
fr French
fy Frisian
gaa Ga
gl Galician
ka Georgian
de German
el Greek
gn Guarani
gu Gujarati
ht Haitian Creole
ha Hausa
haw Hawaiian
iw Hebrew
hi Hindi
hmn Hmong
hu Hungarian
is Icelandic
ig Igbo
id Indonesian
ia Interlingua
ga Irish
it Italian
ja Japanese
jw Javanese
kn Kannada
kk Kazakh
rw Kinyarwanda
rn Kirundi
kg Kongo
ko Korean
kri Krio (Sierra Leone)
ku Kurdish
ckb Kurdish (Soranî)
ky Kyrgyz
lo Laothian
la Latin
lv Latvian
ln Lingala
lt Lithuanian
loz Lozi
lg Luganda
ach Luo
lb Luxembourgish
mk Macedonian
mg Malagasy
ms Malay
ml Malayalam
mt Maltese
mi Maori
mr Marathi
mfe Mauritian Creole
mo Moldavian
mn Mongolian
my Myanmar (Burmese)
sr-ME Montenegrin
ne Nepali
pcm Nigerian Pidgin
nso Northern Sotho
no Norwegian
nn Norwegian (Nynorsk)
oc Occitan
or Oriya
om Oromo
ps Pashto
fa Persian
pl Polish
pt-BR Portuguese (Brazil)
pt Portuguese (Portugal) Download
pa Punjabi
qu Quechua
ro Romanian
rm Romansh
nyn Runyakitara
ru Russian
sm Samoan
gd Scots Gaelic
sr Serbian
sh Serbo-Croatian
st Sesotho
tn Setswana
crs Seychellois Creole
sn Shona
sd Sindhi
si Sinhalese
sk Slovak
sl Slovenian
so Somali
es Spanish
es-419 Spanish (Latin American)
su Sundanese
sw Swahili
sv Swedish
tg Tajik
ta Tamil
tt Tatar
te Telugu
th Thai
ti Tigrinya
to Tonga
lua Tshiluba
tum Tumbuka
tr Turkish
tk Turkmen
tw Twi
ug Uighur
uk Ukrainian
ur Urdu
uz Uzbek
vi Vietnamese
cy Welsh
wo Wolof
xh Xhosa
yi Yiddish
yo Yoruba
zu Zulu
Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:02,569 --> 00:00:04,738 - (Narrator): At the southern edge of the Pantanal, 2 00:00:04,738 --> 00:00:08,408 sightings of this small wild cat have hit a new high. 3 00:00:11,111 --> 00:00:14,615 The ocelot is making a major comeback. 4 00:00:14,615 --> 00:00:18,452 Howler monkeys, toucans, and deer all call this place home. 5 00:00:18,452 --> 00:00:22,389 Yet none of them is prey for this stealthy hunter. 6 00:00:22,389 --> 00:00:24,324 (grunting) 7 00:00:25,559 --> 00:00:29,396 So scientists struggle to understand the ocelot's success. 8 00:00:42,175 --> 00:00:44,811 The Pantanal is a tropical wetland 9 00:00:44,811 --> 00:00:47,314 where all life is defined by the seasons. 10 00:00:49,816 --> 00:00:52,819 From October to March it's the rainy season. 11 00:00:55,722 --> 00:00:58,225 By April, 80% of the land disappears 12 00:00:58,225 --> 00:00:59,259 under more than three feet of water. 13 00:01:03,263 --> 00:01:04,231 Come the dry season, 14 00:01:06,333 --> 00:01:09,202 the water recedes. 15 00:01:13,340 --> 00:01:15,475 Late September. 16 00:01:17,077 --> 00:01:18,412 It hasn't rained for months. 17 00:01:20,247 --> 00:01:23,216 The landscape is parched and the food is scarce 18 00:01:23,216 --> 00:01:24,318 for the animals that live here. 19 00:01:28,789 --> 00:01:34,161 Yet, the dramatic ebb and flow of the seasons help wildlife. 20 00:01:36,096 --> 00:01:39,299 It's prevented the development of large-scale industrial agriculture. 21 00:01:42,135 --> 00:01:45,172 The Pantanal is ten-times larger than the Everglades 22 00:01:45,172 --> 00:01:48,809 and spans three countries, mostly in Brazil. 23 00:01:48,809 --> 00:01:52,079 It's a pristine place where wildlife still rules. 24 00:01:54,481 --> 00:01:58,652 But here, at its southern edge, a relatively small farm has carved a slice 25 00:01:58,652 --> 00:02:02,522 out of the wetlands and turned it into a rice plantation. 26 00:02:07,527 --> 00:02:10,831 Most environmentalists don't believe that conservation 27 00:02:10,831 --> 00:02:13,400 and agriculture are a good mix. 28 00:02:15,469 --> 00:02:21,241 But ecologist Henrique Concone noticed the local wildlife seems to have embraced the change. 29 00:02:21,241 --> 00:02:26,246 - What is a very interesting thing about the irrigation rice process here 30 00:02:26,246 --> 00:02:29,116 is that most of this water that is irrigating the rice 31 00:02:29,116 --> 00:02:33,220 on the ranch is exactly on the dry season. 32 00:02:33,220 --> 00:02:36,256 So you have a very unique situation where, 33 00:02:36,256 --> 00:02:39,092 during the dry season, most of the Pantanal is dry, 34 00:02:39,092 --> 00:02:41,795 but here you can see some portion of land 35 00:02:41,795 --> 00:02:45,465 with a lot of water, which will attract a lot of wildlife. 36 00:02:49,236 --> 00:02:51,571 - (Narrator): Henrique is working on a Ph.D. 37 00:02:51,571 --> 00:02:54,508 And his focus is the ocelot. 38 00:02:54,508 --> 00:02:58,478 Also known as the dwarf leopard. 39 00:02:58,478 --> 00:03:00,647 It's South America's fiercest small cat. 40 00:03:14,194 --> 00:03:16,329 Like all wild cat species, 41 00:03:16,329 --> 00:03:20,634 ocelot populations are declining due to habitat loss. 42 00:03:20,634 --> 00:03:24,571 But on this farm, the species seems to be thriving. 43 00:03:40,720 --> 00:03:43,657 (Enrique): In Brazil there are nine species of wild cats, 44 00:03:43,657 --> 00:03:49,296 of those nine species, seven are considered small cats. 45 00:03:49,296 --> 00:03:52,399 Among those seven species of small cats, 46 00:03:52,399 --> 00:03:54,568 the ocelot is the largest one. 47 00:03:54,568 --> 00:03:57,370 They can attain a little bit more than one meter in length. 48 00:03:57,370 --> 00:03:58,738 From tip of the nose, tip of the tail. 49 00:03:58,738 --> 00:04:03,176 And big males will weigh up to 15 kilos. 50 00:04:03,176 --> 00:04:07,380 It's a cat that's heavily spotted with stripes also on the side, 51 00:04:07,380 --> 00:04:11,184 so for many it's considered one of the most beautiful cats in the world. 52 00:04:18,525 --> 00:04:20,460 - (Narrator): The best time to spot an ocelot is at night, 53 00:04:20,460 --> 00:04:25,398 when the small cats use the cover of darkness to hunt. 54 00:04:30,370 --> 00:04:33,573 Two years ago, on a similar nocturnal survey, 55 00:04:33,573 --> 00:04:36,543 Henrique nicknamed the area Cat Country. 56 00:04:57,430 --> 00:04:59,533 - (Narrator): Finding out why this was an ocelot hotspot 57 00:04:59,533 --> 00:05:03,570 is the focus of Henrique's doctoral research. 58 00:05:05,739 --> 00:05:09,776 It seemed counter intuitive but could manmade landscapes, 59 00:05:09,776 --> 00:05:12,979 if done well, actually help wildlife? 60 00:05:15,182 --> 00:05:17,250 His goal is to understand if, 61 00:05:17,250 --> 00:05:21,087 and how humans and wildlife can co-exist. 62 00:05:27,194 --> 00:05:31,331 A family of capybaras is caught in the headlights. 63 00:05:31,331 --> 00:05:34,100 Traffic is unusual in these parts! 64 00:05:36,336 --> 00:05:38,705 They're all safely across the road and disappear 65 00:05:38,705 --> 00:05:41,341 into the darkness. 66 00:05:51,484 --> 00:05:54,387 Just down the road, the spotlight reveals 67 00:05:54,387 --> 00:06:00,126 a female maned wolf and her three playful pups. 68 00:06:04,364 --> 00:06:07,801 At about three feet tall, the mother looks like a fox on stilts, 69 00:06:07,801 --> 00:06:11,004 but they are neither foxes nor wolves. 70 00:06:13,039 --> 00:06:15,508 They're the tallest wild canid in the world, 71 00:06:15,508 --> 00:06:19,045 a family that includes domestic dogs. 72 00:06:22,349 --> 00:06:24,551 Their hunting grounds are Brazil's grasslands, 73 00:06:24,551 --> 00:06:28,121 known as the cerrado, where their long legs give them 74 00:06:28,121 --> 00:06:29,289 a distinct edge. 75 00:06:38,265 --> 00:06:41,301 The team continues into the heart of Cat Country. 76 00:06:44,571 --> 00:06:48,341 And it's not long before they find what they're looking for. 77 00:07:12,065 --> 00:07:14,067 It's a young female. 78 00:07:15,268 --> 00:07:17,470 And she does not care much for the paparazzi 79 00:07:17,470 --> 00:07:18,705 that have invaded her territory. 80 00:07:27,380 --> 00:07:30,550 The white fur around her eyes reflects light into her pupils, 81 00:07:30,550 --> 00:07:34,020 and enhances her powerful night vision. 82 00:07:38,692 --> 00:07:40,727 She quietly withdraws into the bush. 83 00:07:46,399 --> 00:07:49,202 Henrique goes on these night-spotting missions once a week. 84 00:07:52,439 --> 00:07:55,241 The more sightings, the more data he can use 85 00:07:55,241 --> 00:07:57,277 to prove his theory. 86 00:08:01,715 --> 00:08:03,483 Deeper in the forest, the glare of the spotlight 87 00:08:03,483 --> 00:08:06,252 catches another ocelot. 88 00:08:09,155 --> 00:08:11,358 A male this time. 89 00:08:16,763 --> 00:08:18,565 Ocelots mark their territory 90 00:08:18,565 --> 00:08:21,701 by rubbing against trees and bushes. 91 00:08:37,384 --> 00:08:41,187 In this region, their home range is up to three square miles. 92 00:08:45,425 --> 00:08:47,727 Females have smaller territories 93 00:08:47,727 --> 00:08:51,197 and he likely has several living in his. 94 00:08:53,199 --> 00:08:56,369 He patrols his entire home range every few days, 95 00:08:56,369 --> 00:08:58,471 in search of prey. 96 00:09:00,306 --> 00:09:04,310 Ocelots don't stalk their prey. They either patiently wait 97 00:09:04,310 --> 00:09:07,380 and ambush whatever happens to pass by. 98 00:09:10,550 --> 00:09:13,286 Or they follow scent trails. 99 00:09:17,424 --> 00:09:19,392 This male seems to be onto something. 100 00:09:24,097 --> 00:09:26,800 He doesn't know it but he's being observed 101 00:09:26,800 --> 00:09:29,169 by another male. 102 00:09:29,169 --> 00:09:31,204 This one has been lucky 103 00:09:31,204 --> 00:09:34,674 and carries the bloody traces of a fresh kill on his fur. 104 00:09:37,811 --> 00:09:39,679 A yellow anaconda. 105 00:09:42,449 --> 00:09:44,517 The hungry cat ripped off the snake's head 106 00:09:44,517 --> 00:09:46,686 to avoid a deadly embrace. 107 00:09:53,626 --> 00:09:56,229 And he's not about to let another cat claim his prize. 108 00:10:03,269 --> 00:10:06,639 Ocelot males, like females, are fiercely territorial. 109 00:10:11,311 --> 00:10:14,314 The anaconda is a prize worth defending. 110 00:10:14,314 --> 00:10:17,050 It will feed a hungry cat for several days. 111 00:10:28,561 --> 00:10:30,263 The intruder moves in. 112 00:10:32,265 --> 00:10:34,801 (grunting) 113 00:10:37,337 --> 00:10:43,109 (grunting) 114 00:10:50,416 --> 00:10:54,787 (grunting) 115 00:11:10,436 --> 00:11:15,375 The message is loud and clear, and the intruder moves on. 116 00:11:20,346 --> 00:11:23,449 The successful hunter drags his unwieldy dinner into the forest 117 00:11:23,449 --> 00:11:26,419 to dine in peace. 118 00:11:29,322 --> 00:11:31,424 The night is still young for the nocturnal ocelots. 119 00:11:31,424 --> 00:11:35,795 But for Henrique, it's time for bed. 120 00:11:38,565 --> 00:11:42,135 Not a record-breaking night for the most ocelot sightings, 121 00:11:42,135 --> 00:11:45,438 but some amazing behavior! 122 00:11:53,880 --> 00:11:57,216 Dawn returns to Cat Country. 123 00:12:01,421 --> 00:12:03,623 The night crowd retreats. 124 00:12:06,392 --> 00:12:08,127 And the forest awakens to the calls 125 00:12:08,127 --> 00:12:10,530 of its diurnal inhabitants. 126 00:12:10,530 --> 00:12:15,568 (forest sounds) 127 00:12:17,770 --> 00:12:21,441 The loudest of them all is the howler monkey. 128 00:12:21,441 --> 00:12:28,681 (howler monkey calls) 129 00:12:28,681 --> 00:12:32,785 They're the loudest land animals in the Western Hemisphere. 130 00:12:35,688 --> 00:12:38,791 Their booming calls can be heard three miles away. 131 00:12:44,297 --> 00:12:46,532 Both sexes call. 132 00:12:46,532 --> 00:12:50,436 (howler monkey calls) 133 00:12:50,436 --> 00:12:53,539 But today it's the dominant male that notifies other groups 134 00:12:53,539 --> 00:12:55,274 of their position. 135 00:12:58,578 --> 00:13:02,548 A mother and her infant start their day dining on flowers. 136 00:13:08,755 --> 00:13:10,623 They're called black howler monkeys 137 00:13:10,623 --> 00:13:14,293 even though they're all born a golden brown. 138 00:13:17,397 --> 00:13:20,433 Only the males turn black when they mature. 139 00:13:25,304 --> 00:13:27,707 This young juvenile will be covered in black fur 140 00:13:27,707 --> 00:13:30,243 by the time he's two and a half years old. 141 00:13:35,782 --> 00:13:38,451 Unlike most South American monkeys, 142 00:13:38,451 --> 00:13:42,355 both male and female howler monkeys have color vision. 143 00:13:46,259 --> 00:13:49,362 So if it's not the scent of these Ipe flowers, 144 00:13:49,362 --> 00:13:50,697 it may be their bright pink color 145 00:13:50,697 --> 00:13:54,167 that attracts these primates. 146 00:13:58,471 --> 00:14:03,309 One thing's for sure, it's quite a treat. 147 00:14:03,309 --> 00:14:07,046 One that only happens in the middle of the dry season. 148 00:14:08,414 --> 00:14:10,450 Right after it drops its leaves, 149 00:14:10,450 --> 00:14:15,188 the Ipe tree produces large clusters of beautiful flowers. 150 00:14:18,357 --> 00:14:20,593 The flowers are nutritious and much sought after. 151 00:14:23,262 --> 00:14:27,533 Howlers have a prehensile tail that has no fur underneath. 152 00:14:27,533 --> 00:14:30,570 It makes a great fifth limb. 153 00:14:46,119 --> 00:14:48,321 The youngster strikes out on his own. 154 00:14:54,660 --> 00:14:58,397 He soon finds out plucking flowers is not as easy as it looks 155 00:14:58,397 --> 00:15:01,000 even with the help of his tail. 156 00:15:02,568 --> 00:15:06,139 Especially at the end of the flowering season, 157 00:15:06,139 --> 00:15:09,275 when the bright pink prize is hard to reach. 158 00:15:41,374 --> 00:15:44,710 A few branches away, a southern crested caracara 159 00:15:44,710 --> 00:15:48,347 eyes the young howler with interest. 160 00:15:50,483 --> 00:15:55,354 Luckily for the young howler this raptor is a scavenger. 161 00:16:00,092 --> 00:16:02,528 The rest of the troop is always on the lookout for predators 162 00:16:02,528 --> 00:16:06,065 especially for raptors. 163 00:16:11,470 --> 00:16:15,007 The opportunistic caracara has spotted an easier target. 164 00:16:20,346 --> 00:16:24,650 On a nearby tree, a savanna hawk enjoys the catch of the day. 165 00:16:24,650 --> 00:16:29,655 The caracara tries to force the hawk to drop its food. 166 00:16:41,434 --> 00:16:44,370 These winged bullies are fiercely territorial. 167 00:16:51,277 --> 00:16:54,513 And aren't afraid to tell other birds to take a hike. 168 00:16:58,718 --> 00:17:02,221 Especially at this time of year, 169 00:17:02,221 --> 00:17:10,429 when farm workers prepare the fields for new rice crops. 170 00:17:13,232 --> 00:17:15,301 As the plow churns up the soil, 171 00:17:15,301 --> 00:17:20,206 it unearths worms, lizards and insects, living underground. 172 00:17:26,112 --> 00:17:28,080 Lined up at the banquet table, 173 00:17:28,080 --> 00:17:30,182 the steely-eyed raptors stand watch, 174 00:17:33,252 --> 00:17:36,122 ready to sweep in for a quick meal. 175 00:17:53,739 --> 00:17:56,175 The seasonal flooding in the Pantanal means 176 00:17:56,175 --> 00:17:59,345 that the land isn't very productive. 177 00:18:02,715 --> 00:18:07,053 That and the scarcity of roads keep the human population low. 178 00:18:09,288 --> 00:18:12,024 Farms are large and widely dispersed. 179 00:18:14,560 --> 00:18:17,596 On this farm, some of the land has been set aside 180 00:18:17,596 --> 00:18:20,166 as an official natural preserve. 181 00:18:22,401 --> 00:18:26,238 And that's the part Henrique calls "Cat Country". 182 00:18:55,234 --> 00:18:58,270 - (Narrator): Henrique sets the camera traps up at many different locations. 183 00:19:16,288 --> 00:19:18,657 - (Narrator): The snapshots he collects will help him establish 184 00:19:18,657 --> 00:19:20,159 ocelot density in the area. 185 00:19:32,204 --> 00:19:35,174 - (Narrator): Henrique's research could provide a glimpse 186 00:19:35,174 --> 00:19:38,377 of what can be done to help wildlife in farmed areas. 187 00:20:00,699 --> 00:20:04,603 - (Narrator): The GPS data will help Henrique determine the ocelots' home range, 188 00:20:04,603 --> 00:20:08,407 how long and how far they travel and, more importantly, 189 00:20:08,407 --> 00:20:12,344 how they use the native forest compared to the rice fields. 190 00:20:15,281 --> 00:20:19,085 For now, he's still busy collecting hard evidence. 191 00:21:00,426 --> 00:21:03,429 - (Narrator): Ocelots have to eat about two pounds of food a day. 192 00:21:05,531 --> 00:21:09,301 Usually only fifty per cent of an ocelot's diet is rodents. 193 00:21:09,301 --> 00:21:11,637 - (Henrique): Ocelots, they have a very broad diet, 194 00:21:11,637 --> 00:21:15,341 they can prey upon birds, lizards, snakes 195 00:21:15,341 --> 00:21:17,776 and small and medium-sized mammals. 196 00:21:17,776 --> 00:21:21,814 I've been able to check that they can prey upon also brocket deer 197 00:21:21,814 --> 00:21:25,184 and rheas, but most of their diet, 198 00:21:25,184 --> 00:21:28,387 through the analysis of scat we have found that 199 00:21:28,387 --> 00:21:32,024 up to eighty percent or more of their diet is composed by small rodents. 200 00:21:38,364 --> 00:21:41,233 - (Narrator): The ocelots here are eating 30% more 201 00:21:41,233 --> 00:21:44,170 small rodents in their diet. That's a big difference. 202 00:21:47,239 --> 00:21:49,708 It's because they live near a rice plantation. 203 00:21:49,708 --> 00:21:52,344 That's what Pedro Estrela suspects. 204 00:21:52,344 --> 00:21:54,647 He's a rodent expert. 205 00:21:54,647 --> 00:21:57,316 - (Pedro): One of the first things we want to study 206 00:21:57,316 --> 00:22:00,319 is the diversity of rodents in agricultural systems, 207 00:22:00,319 --> 00:22:02,588 or agro-ecosystems. 208 00:22:02,588 --> 00:22:06,058 The diversity can be measured by the number of species 209 00:22:06,058 --> 00:22:09,295 that are found, but also by their abundance, 210 00:22:09,295 --> 00:22:12,431 which means the number of individuals of each species 211 00:22:12,431 --> 00:22:16,769 that are found, so these can be a good measure of how 212 00:22:16,769 --> 00:22:21,307 an agricultural ecosystem has impacted a natural ecosystem. 213 00:22:21,307 --> 00:22:24,410 - (Narrator): Even native species of rodents 214 00:22:24,410 --> 00:22:28,347 have a downside. They make great hosts for parasites. 215 00:22:28,347 --> 00:22:32,451 And that's why Fabiana Lopes Rocha is interested 216 00:22:32,451 --> 00:22:36,455 in the project. She's a parasitology expert. 217 00:22:36,455 --> 00:22:39,525 - (Fabiana): Parasites, they are part of the ecosystem, 218 00:22:39,525 --> 00:22:43,329 they act as a force of population regulation. 219 00:22:43,329 --> 00:22:47,233 The problem is when we alter the environment, 220 00:22:47,233 --> 00:22:51,337 so we change the relationships between parasites 221 00:22:51,337 --> 00:22:54,673 and their hosts, and this can lead to an increase 222 00:22:54,673 --> 00:22:58,711 of the prevalence of some diseases and cause outbreaks. 223 00:23:01,113 --> 00:23:03,716 - (Narrator): For ocelots, one of the most dangerous parasites 224 00:23:03,716 --> 00:23:08,487 is Trypanosoma cruzi which in humans causes chagas disease. 225 00:23:08,487 --> 00:23:13,058 If an ocelot eats a rodent that carries this parasite, 226 00:23:13,058 --> 00:23:15,427 it gets infected. 227 00:23:15,427 --> 00:23:17,529 - (Fabiana): Trypanosoma cruzi cause heart failure, 228 00:23:17,529 --> 00:23:21,367 which can affect the life expectancy 229 00:23:21,367 --> 00:23:26,372 and also capacity of locomotion and capacity of predation, 230 00:23:26,372 --> 00:23:29,708 which can be a huge problem for a predator. 231 00:23:59,672 --> 00:24:01,273 - (Narrator): As night falls upon Cat Country... 232 00:24:04,610 --> 00:24:08,547 ...swarms of mosquitoes take to the dark skies. 233 00:24:10,749 --> 00:24:14,687 It's time for Pedro and Fabiana to set out their traps. 234 00:24:21,060 --> 00:24:23,195 They use peanut butter as bait. 235 00:24:29,268 --> 00:24:31,637 Fabiana notes the trap locations with a GPS. 236 00:24:55,694 --> 00:24:58,630 - (Narrator): They'll be back in the morning to check out the traps. 237 00:24:58,630 --> 00:25:02,701 What they find may shed new light on what makes this place Cat Country. 238 00:25:21,687 --> 00:25:25,457 - (Narrator): Back on the road, Henrique looks for more clues. 239 00:25:29,228 --> 00:25:32,398 A crescent moon barely lights up the night sky. 240 00:25:34,733 --> 00:25:39,605 A perfect night for ocelots to hunt and for ocelot sightings. 241 00:25:45,711 --> 00:25:49,148 But it's a giant anteater that Henrique sees first. 242 00:25:55,154 --> 00:25:57,322 These peaceful and exotic looking creatures 243 00:25:57,322 --> 00:25:59,525 have the lowest body temperature of any mammal, 244 00:25:59,525 --> 00:26:03,228 about 91 degrees Fahrenheit. 245 00:26:11,136 --> 00:26:13,138 They're active mostly at dawn or dusk. 246 00:26:17,209 --> 00:26:20,078 And feast on insects. 247 00:26:28,120 --> 00:26:31,256 Next, a marsh deer steps into the spotlight. 248 00:26:34,793 --> 00:26:37,396 They graze on aquatic plants. 249 00:26:40,365 --> 00:26:42,301 But they'll also browse the shrubbery. 250 00:26:50,142 --> 00:26:54,179 It's a pair of crab eating foxes that really catches Henrique's attention. 251 00:26:58,383 --> 00:27:02,254 Foxes and ocelots compete for some of the same kinds of prey. 252 00:27:04,590 --> 00:27:07,392 They do eat a lot of crabs, as their name suggests, 253 00:27:07,392 --> 00:27:10,429 but this one has a rodent that it probably caught 254 00:27:10,429 --> 00:27:12,197 in the rice paddies. 255 00:27:22,541 --> 00:27:27,613 A little further into the bush, a female ocelot is on the prowl. 256 00:27:30,048 --> 00:27:32,751 She's spotted something off the ground. 257 00:27:44,530 --> 00:27:47,432 It could be a bird nest with some tasty eggs 258 00:27:47,432 --> 00:27:49,434 or chicks inside. 259 00:27:58,510 --> 00:28:01,179 No luck this time. 260 00:28:01,179 --> 00:28:03,315 It's a termite nest! 261 00:28:11,690 --> 00:28:14,259 It's the start of the mating season. 262 00:28:14,259 --> 00:28:16,461 A crucial time for ocelots. 263 00:28:19,264 --> 00:28:23,101 Females only have one or two kittens every other year. 264 00:28:30,342 --> 00:28:32,377 This one leaves a message. 265 00:28:38,450 --> 00:28:43,021 Her pungent urine warns other females to stay away. 266 00:28:45,557 --> 00:28:48,727 And lets males know she's ready to mate. 267 00:28:55,367 --> 00:28:57,736 Another female is lactating and has left her kittens 268 00:28:57,736 --> 00:28:59,605 in a safe place while she hunts. 269 00:29:04,142 --> 00:29:06,345 She'll nurse them for only six weeks, 270 00:29:06,345 --> 00:29:08,780 but will continue to provide them with food for a few months 271 00:29:08,780 --> 00:29:10,649 before teaching them to hunt. 272 00:29:10,649 --> 00:29:16,788 For Henrique, all this female activity is a good omen, 273 00:29:16,788 --> 00:29:19,324 a sign that a new generation of ocelots 274 00:29:19,324 --> 00:29:22,461 will soon make its home in Cat Country. 275 00:29:30,469 --> 00:29:33,305 As the sun rises over the Pantanal, 276 00:29:39,244 --> 00:29:42,614 the howler monkeys once again gather for breakfast. 277 00:29:47,319 --> 00:29:50,756 By now, there are no more flowers on the trees. 278 00:29:54,226 --> 00:29:56,628 So they settle for the green leaves. 279 00:30:02,401 --> 00:30:05,237 Although howler monkeys are one of the largest monkeys 280 00:30:05,237 --> 00:30:08,674 in the Americas, they mostly subsist on leaves. 281 00:30:15,113 --> 00:30:17,382 Older leaves are not that nutritious 282 00:30:17,382 --> 00:30:20,719 so they have to spend most of the day foraging. 283 00:30:35,467 --> 00:30:37,369 In another tree, 284 00:30:37,369 --> 00:30:42,774 a toucan is considering a breakfast of fruits. 285 00:30:53,251 --> 00:30:56,288 There are 20 species of toucans in Brazil 286 00:30:56,288 --> 00:31:00,358 and this toco toucan is the largest of them all. 287 00:31:00,358 --> 00:31:05,430 The bill can sometimes grow as long as the bird's body. 288 00:31:05,430 --> 00:31:09,367 And although it looks massive, the bill is hollow and light. 289 00:31:12,504 --> 00:31:15,474 It isn't just beautiful, it's also works as 290 00:31:15,474 --> 00:31:18,510 an adjustable thermal radiator that a toucan can use 291 00:31:18,510 --> 00:31:21,079 to warm and cool itself. 292 00:31:28,520 --> 00:31:31,389 Although these toucans spend a lot of time in trees, 293 00:31:31,389 --> 00:31:34,593 they are not very good at flying. 294 00:31:34,593 --> 00:31:37,362 They travel among trees by hopping. 295 00:31:41,433 --> 00:31:44,402 When they do take flight, they flap their wings vigorously, 296 00:31:44,402 --> 00:31:48,340 then glide, traveling only short distances. 297 00:31:56,548 --> 00:32:00,352 This toucan spots a jenipapo tree, full of ripe fruits. 298 00:32:06,625 --> 00:32:08,393 The beak does all the work. 299 00:32:08,393 --> 00:32:12,164 Its sharp saw-like edges tear the fruit's shell right off 300 00:32:12,164 --> 00:32:14,566 and expose the juicy flesh. 301 00:32:34,186 --> 00:32:36,421 On the ground, the rice fields undergo 302 00:32:36,421 --> 00:32:38,723 a dramatic transformation. 303 00:32:48,300 --> 00:32:51,403 Now that the soil has been tilled, and the seeds sown, 304 00:32:54,406 --> 00:32:57,609 water from the nearby Miranda River begins to flow. 305 00:33:04,416 --> 00:33:06,351 Channeled by a series of man-made dikes 306 00:33:06,351 --> 00:33:09,020 into the parched fields. 307 00:33:11,056 --> 00:33:12,424 Turning an arid plain... 308 00:33:14,459 --> 00:33:17,562 ...into a shimmering wetland. 309 00:33:45,657 --> 00:33:48,159 The water attracts a flock of waders. 310 00:33:49,694 --> 00:33:53,298 The bare-faced ibises are eager to feast on the insects, 311 00:33:53,298 --> 00:33:56,635 worms and other small invertebrates forced out 312 00:33:56,635 --> 00:33:58,436 of the ground by the water. 313 00:34:06,077 --> 00:34:10,048 But they dine at a leisurely pace. 314 00:34:19,190 --> 00:34:20,625 It's a gregarious species, 315 00:34:20,625 --> 00:34:24,262 unlike its cousin the plumbeous ibis, 316 00:34:24,262 --> 00:34:27,299 which prefers the bare-faced's company to its own kind. 317 00:34:35,240 --> 00:34:38,376 Elegant black-necked stilts and lesser yellow legs 318 00:34:38,376 --> 00:34:41,413 delicately probe the mud for smaller prey. 319 00:34:47,185 --> 00:34:50,221 A snail kite snatches-up an apple snail shell... 320 00:34:56,428 --> 00:34:58,396 ...but soon drops it. 321 00:34:58,396 --> 00:35:01,232 Someone else has already eaten the snail! 322 00:35:10,041 --> 00:35:13,445 Caracara are here too. 323 00:35:13,445 --> 00:35:17,549 Always first in line for a free meal. 324 00:35:26,358 --> 00:35:29,494 Even a jabiru, one of the world's largest birds, 325 00:35:29,494 --> 00:35:32,630 has joined the feeding waders. 326 00:35:55,687 --> 00:35:58,089 The manufactured landscape of the rice fields 327 00:35:58,089 --> 00:36:00,625 doesn't deter the wildlife here. 328 00:36:07,532 --> 00:36:11,503 This yellow anaconda takes advantage of the irrigation channels. 329 00:36:11,503 --> 00:36:16,574 It prefers to be in water so the farm dikes are like highways. 330 00:36:16,574 --> 00:36:23,181 This cold-blooded predator is almost fifteen feet of pure muscle. 331 00:36:28,386 --> 00:36:30,288 It's built to crush the life out 332 00:36:30,288 --> 00:36:33,625 of its victims and swallow them whole. 333 00:36:45,336 --> 00:36:48,173 Its tongue picks up microscopic particles from the air 334 00:36:48,173 --> 00:36:51,142 to track its next meal. 335 00:37:00,552 --> 00:37:05,623 Although it's large, it has an appetite for small rodents. 336 00:37:32,550 --> 00:37:34,552 A fieldworker breaks down levees to create 337 00:37:34,552 --> 00:37:36,221 new pathways for the water. 338 00:37:44,362 --> 00:37:47,565 A process that has changed little over centuries. 339 00:37:54,405 --> 00:37:58,710 On this farm, they average more than 6000 pounds of rice per acre. 340 00:38:01,513 --> 00:38:04,649 To achieve this, they stagger the crops. 341 00:38:10,388 --> 00:38:13,691 Henrique and his colleagues use this to their advantage. 342 00:38:17,729 --> 00:38:20,665 They've set their rodent traps in different kinds of habitats 343 00:38:20,665 --> 00:38:23,568 found in and near the farm fields. 344 00:38:23,568 --> 00:38:29,040 Each location will give them a sample 345 00:38:29,040 --> 00:38:32,043 of the rodent population living there. 346 00:38:32,043 --> 00:38:34,345 They'll be able to correlate the species 347 00:38:34,345 --> 00:38:37,982 they find with the different stages of rice production. 348 00:38:41,686 --> 00:38:43,321 There's not much growing here yet. 349 00:38:46,524 --> 00:38:49,694 Just young small sprouts a couple of weeks old. 350 00:39:04,108 --> 00:39:06,177 - (Narrator): All the traps here are empty. 351 00:39:15,787 --> 00:39:20,525 - (Narrator): Unless you count the ants. They seem very fond of peanut butter! 352 00:39:26,264 --> 00:39:28,166 - (Narrator): This confirms Pedro's hunch. 353 00:39:54,158 --> 00:39:58,696 - (Narrator): The next location is a rice field that's more mature. 354 00:39:58,696 --> 00:40:01,833 Pedro and Fabiana have set the traps at the edge of the field, 355 00:40:01,833 --> 00:40:04,168 where the bush is thicker and offers more shelter. 356 00:40:11,409 --> 00:40:12,477 - (Narrator): It's hard to identify 357 00:40:12,477 --> 00:40:14,746 the exact rodent species at the bottom of a trap. 358 00:40:25,690 --> 00:40:27,692 - (Narrator): It's a species of marsh rat. 359 00:40:27,692 --> 00:40:30,194 It makes a lot of sense to find it here. 360 00:40:56,654 --> 00:40:58,589 - (Narrator): The good news keeps coming. 361 00:41:10,201 --> 00:41:13,538 - (Narrator): This healthy specimen is a Brazilian guinea pig. 362 00:41:15,506 --> 00:41:18,576 It looks like a domestic guinea pig and it might even be 363 00:41:18,576 --> 00:41:22,046 the same species as its wild ancestor. 364 00:41:27,218 --> 00:41:30,321 Out of the 39 traps set in this mature field, 365 00:41:30,321 --> 00:41:34,792 they capture six different rodents, a 15% success rate, 366 00:41:34,792 --> 00:41:39,063 which in the world of field science is a good day. 367 00:41:40,431 --> 00:41:43,334 Best part is out of the six rodents captured, 368 00:41:43,334 --> 00:41:47,205 Pedro and Fabiana could identify four of the species. 369 00:41:48,673 --> 00:41:50,742 The other two will take a bit longer. 370 00:41:50,742 --> 00:41:54,445 - (Pedro): We can't draw any conclusions at the present time, 371 00:41:54,445 --> 00:41:59,250 but we can say that we have had higher capture than we expected, 372 00:41:59,250 --> 00:42:02,220 especially in terms of diversity more than number 373 00:42:02,220 --> 00:42:04,222 with a high capture success. 374 00:42:08,292 --> 00:42:09,694 - (Narrator): The biggest surprise comes when 375 00:42:09,694 --> 00:42:12,430 the team moves across the road to check on the traps 376 00:42:12,430 --> 00:42:15,400 set in the natural habitat, 377 00:42:15,400 --> 00:42:17,001 a forest. 378 00:42:34,652 --> 00:42:37,588 - (Narrator): But then, an interesting discovery. 379 00:42:56,107 --> 00:42:57,341 - (Narrator): Ocelots' diets are varied 380 00:42:57,341 --> 00:43:03,247 but, except for the occasional anaconda, brocket deer or rhea, 381 00:43:03,247 --> 00:43:05,416 they usually hunt animals that are about their size, 382 00:43:05,416 --> 00:43:08,152 or smaller. 383 00:43:08,152 --> 00:43:10,455 An opossum like this one in the trap would make 384 00:43:10,455 --> 00:43:13,291 a fine meal for an ocelot! 385 00:43:13,291 --> 00:43:15,593 - (Pedro): We collected one species of marsupial 386 00:43:15,593 --> 00:43:20,097 of the genus Philander, two females, the two were pregnant, 387 00:43:20,097 --> 00:43:22,633 so we released them back into nature. 388 00:43:25,603 --> 00:43:28,272 - (Narrator): Of the 30 traps laid in the native forest 389 00:43:28,272 --> 00:43:31,409 of the Pantanal, Pedro only captured two marsupials 390 00:43:31,409 --> 00:43:37,548 and no rodents. It's unusual not to find any native rodents. 391 00:43:37,548 --> 00:43:40,852 Especially when compared to the abundance of rodents 392 00:43:40,852 --> 00:43:43,254 trapped closer to the rice plantation. 393 00:43:45,389 --> 00:43:47,692 Compared to the natural forest, 394 00:43:47,692 --> 00:43:50,328 the habitat closer to the rice fields 395 00:43:50,328 --> 00:43:53,231 seems to have far more for an ocelot to eat! 396 00:43:56,701 --> 00:44:01,138 The forest trail cameras took photos of a magnificent female jaguar 397 00:44:01,138 --> 00:44:04,408 but no ocelots this time! 398 00:44:04,408 --> 00:44:07,278 Even when there are "lots" of ocelots 399 00:44:07,278 --> 00:44:08,613 they can still be elusive. 400 00:44:12,817 --> 00:44:14,285 But on the other side of the road, 401 00:44:14,285 --> 00:44:17,788 near a bridge that leads to the rice fields, 402 00:44:17,788 --> 00:44:20,324 Henrique has better results. 403 00:44:24,395 --> 00:44:27,665 It looks like it was a busy night for this mother ocelot. 404 00:44:27,665 --> 00:44:31,602 The camera shows her first taking a rodent to her kitten. 405 00:44:36,073 --> 00:44:38,509 Next she moves her kitten, 406 00:44:38,509 --> 00:44:42,547 quite a large juvenile about two months old, to a new location. 407 00:44:48,185 --> 00:44:50,688 Then she goes back hunting for more food. 408 00:44:52,757 --> 00:44:57,395 It seems ocelots are quite at home - and well fed - 409 00:44:57,395 --> 00:45:00,231 in the transitional habitat between the cultivated land 410 00:45:00,231 --> 00:45:01,299 and the natural forest. 411 00:45:05,269 --> 00:45:08,172 As the tropical midday sun heats up the rice fields, 412 00:45:08,172 --> 00:45:11,442 an ocelot finds shelter in the native forest 413 00:45:11,442 --> 00:45:14,478 fringing the rice paddy. 414 00:45:14,478 --> 00:45:17,448 From its perch, it surveys its kingdom. 415 00:45:17,448 --> 00:45:21,152 A manmade plantation. 416 00:45:24,388 --> 00:45:28,225 Ocelots are considered to be a vulnerable and elusive species 417 00:45:28,225 --> 00:45:32,196 that prefers the dense cover of forests to open areas. 418 00:45:33,631 --> 00:45:39,303 It's early days but Henrique's findings seem to challenge that. 419 00:45:39,303 --> 00:45:43,541 In this area the rice fields seem to be providing 420 00:45:43,541 --> 00:45:48,346 plenty of rodent species that the ocelots can hunt. 421 00:45:48,346 --> 00:45:50,381 Are the ocelots desperate 422 00:45:50,381 --> 00:45:52,683 or adapting well to their changing world? 423 00:45:52,683 --> 00:45:55,419 - (Henrique): This really attracted my attention 424 00:45:55,419 --> 00:45:58,756 because all the literature that you have from ocelots, 425 00:45:58,756 --> 00:46:02,660 you always will see that they need forest cover to survive, 426 00:46:02,660 --> 00:46:05,596 and here you are able to see ocelots using 427 00:46:05,596 --> 00:46:09,233 very open areas of irrigated rice fields, 428 00:46:09,233 --> 00:46:12,169 even when the land is naked, with no plants. 429 00:46:12,169 --> 00:46:15,506 So it's very interesting because it shows that 430 00:46:15,506 --> 00:46:20,211 this species might be much more adaptable 431 00:46:20,211 --> 00:46:21,579 than was previously thought, 432 00:46:21,579 --> 00:46:24,682 which is very important to understand, 433 00:46:24,682 --> 00:46:28,185 because you can now start looking at human disturbed areas 434 00:46:28,185 --> 00:46:30,621 and understand how different 435 00:46:30,621 --> 00:46:34,492 wild species can survive and thrive in this kind of habitat. 436 00:46:34,492 --> 00:46:38,362 - (Narrator): Henrique's results are preliminary. 437 00:46:38,362 --> 00:46:42,767 They still need to know what happened to the native forest rodents 438 00:46:42,767 --> 00:46:45,503 and whether there will be unintended consequences 439 00:46:45,503 --> 00:46:50,441 for other species if there are more ocelots out hunting. 440 00:46:50,441 --> 00:46:55,246 It will take a lot more data to really hone in on how to achieve 441 00:46:55,246 --> 00:46:57,148 the right balance between agriculture 442 00:46:57,148 --> 00:47:00,084 and the preservation of wildlife. 443 00:47:00,084 --> 00:47:03,220 But Henrique is hopeful. 444 00:47:03,220 --> 00:47:06,424 - (Henrique): I have two boys and I always think of my kids 445 00:47:06,424 --> 00:47:10,628 when I'm doing fieldwork. If they would be able 446 00:47:10,628 --> 00:47:12,363 to see what I'm seeing nowadays. 447 00:47:14,165 --> 00:47:17,334 For me it's very good to notice that they're growing up 448 00:47:17,334 --> 00:47:21,472 in a wild area and they're being able to see a lot of wildlife. 449 00:47:21,472 --> 00:47:26,243 Which is for me it's very, very special and important for them. 450 00:47:30,147 --> 00:47:36,153 ♪♪ 451 00:47:36,153 --> 00:47:42,159 ♪♪ 452 00:47:42,159 --> 00:47:48,165 ♪♪ 453 00:47:48,165 --> 00:47:54,572 ♪♪ 38138

Can't find what you're looking for?
Get subtitles in any language from opensubtitles.com, and translate them here.